jackparmer
/ gist:65b6f3d25616f9fa1530
Created
May 15, 2014 01:43
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| { | |
| "metadata": { | |
| "name": "Plotly graph in IRKernel" | |
| }, | |
| "nbformat": 3, | |
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| "worksheets": [ | |
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| "cells": [ | |
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jackparmer
/ error_bars.csv
Created
August 10, 2014 00:19
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| Col6 | Mean | Std Dev | Std Error | |
|---|---|---|---|---|
| 1 | 28.68354 | 8.71124 | 0.98009 | |
| 2 | 19.91209 | 6.93565 | 0.72705 | |
| 3 | 19.05882 | 7.20838 | 0.78186 | |
| 4 | 19.66667 | 5.99166 | 0.66574 | |
| Damian Lillard - stats | 19.07317 | 6.87235 | 0.75892 |
jackparmer
/ lindenmeyer_plotly.ipynb
Created
October 25, 2014 19:34
streaming lindenmeyer generation
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| { | |
| "metadata": { | |
| "name": "widgets" | |
| }, | |
| "nbformat": 3, | |
| "nbformat_minor": 0, | |
| "worksheets": [ | |
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jackparmer
/ mysql-ipython-notebook-plotly-example
Created
December 15, 2014 04:57
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| { | |
| "metadata": { | |
| "name": "", | |
| "signature": "sha256:a8c266a3e6c4963abeca1c7b7a0656aee2fb5e524912abbc1f083e942694e840" | |
| }, | |
| "nbformat": 3, | |
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jackparmer
/ Graph weather underground data with Plotly Python client
Last active
January 25, 2019 15:46
Graph weather underground data with Plotly Python client
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| #!/usr/bin/env python | |
| import urllib2 | |
| import json | |
| import plotly | |
| import datetime | |
| import plotly.plotly as py | |
| from plotly.graph_objs import * | |
| py.sign_in('XXXX', 'XXXX') |
jackparmer
/ plotly, cron jobs, and weather underground api
Created
December 16, 2014 04:05
plotly, cron jobs, and weather underground api
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| { | |
| "metadata": { | |
| "name": "plotly and weather underground api" | |
| }, | |
| "nbformat": 3, | |
| "nbformat_minor": 0, | |
| "worksheets": [ | |
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| "cells": [ | |
| { |
jackparmer
/ reports.ipynb
Created
December 22, 2014 00:19
auto-generate HTML reports with Plotly Pandas and Python
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jackparmer
/ reports.py
Created
December 22, 2014 00:19
Python script to autogen. HTML reports with Plotly graph embeds
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| #!/usr/bin/env python | |
| # coding: utf-8 | |
| ## Generate HTML reports with D3 graphs using Python, Plotly, and Pandas | |
| # You can download the example report that this script generate from this link. | |
| # <a href="d3.js">d3.js</a> is an amazing JavaScript library for creating interactive, online graphics and charts. Plotly lets you create d3.js charts using Python, R, or MATLAB. This IPython notebook shows you how to embed these charts in an HTML report that you can then share by email or <a href="">host on a website</a>. |
jackparmer
/ messing with pandas in ipython notebooks
Created
December 23, 2014 02:34
messing with pandas in ipython notebooks
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| { | |
| "metadata": { | |
| "name": "messing with pandas", | |
| "signature": "sha256:8de7fd267cc75a71ca8db02685df82aabbd9201f8bcecd52b3870c02fb8813b9" | |
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